关键词: 直觉模糊Petri网, 直觉模糊推理, 故障诊断, 双向模糊故障推理

Abstract: According to the complicated uncertain relation between fault phenomenon and fault reason in fault diagnosis, using the advantage of intuitionistic fuzzy sets in expressing uncertainty information and the ability of graphics  processing of Petri net, this paper presents a bidirectional fuzzy fault diagnosis inference algorithm based on intuitionistic fuzzy Petri nets. The reverse intuitionistic fuzzy reasoning algorithm is firstly applied to the model reduction in order to find the cause of the fault. The positive intuitionistic fuzzy reasoning algorithm is used to calculate the model and then output the results. The algorithm can not only simplify the fault information and reduce the time complexity of the inference process, but also can improve the fault diagnosis degree of certainty. Automobile engine diagnosis shows that the bidirectional intuitionistic fuzzy reasoning algorithm is feasible and effective.

Key words: intuitionistic fuzzy Petri nets, intuitionistic fuzzy reasoning, fault diagnosis, bidirectional fuzzy fault reasoning